mean_y = [-1.0866e+02,  2.3046e-02,  1.4680e-02,  1.4080e-02, -2.0819e-03,
         1.5819e-02,  1.4343e-02,  1.5672e-02,  3.7343e-01, -5.3419e-04,
        -1.4078e-03,  3.2843e-04,  6.9277e-05, -1.6965e-05, -1.8611e-06,
         3.0358e-05, -6.1870e-03, -2.7713e-04, -5.2338e-04,  5.6694e-05,
         1.3367e-05,  4.3209e-05, -4.9172e-06,  9.8422e-05,  4.0171e-02,
         1.5847e-04,  4.4632e-04,  7.2462e-05, -9.6937e-05, -6.7481e-05,
         2.1983e-05, -1.7382e-05, -2.0175e-03,  1.6137e-02,  1.5075e-02,
         1.5684e-02,  9.9698e-05,  1.5353e-02,  1.5158e-02,  1.5231e-02,
         1.0774e-02,  1.1419e-04,  1.6619e-04, -1.0715e-04,  4.9146e-06,
         1.3172e-05, -5.0811e-05, -3.1249e-06,  2.4493e-04,  2.2862e-05,
         1.0099e-04, -4.5057e-05,  8.9027e-05, -4.5492e-05,  1.9251e-04,
         1.2293e-05,  2.7781e-03,  5.1359e-05,  1.1342e-04, -6.0016e-05,
         4.1044e-05,  1.1910e-05,  1.1545e-05,  1.9836e-05]
std_y = [451.1220,  63.9906,  32.7561,  18.5589,  10.5621,   6.5588,   4.5408,
          2.8256,  70.0168,  30.9485,  19.8555,  12.2047,   7.1744,   4.4991,
          3.0875,   1.8802,  36.5120,  20.6407,  14.5198,   9.4076,   5.6355,
          3.5605,   2.4379,   1.4871,  20.8798,  13.0193,   9.6583,   6.5155,
          3.9934,   2.5490,   1.7604,   1.1105,  11.9266,   7.7711,   5.8845,
          4.0563,   2.5521,   1.6641,   1.1800,   0.8024,   7.4220,   4.8913,
          3.7361,   2.6025,   1.6720,   1.1327,   0.8378,   0.6210,   5.1367,
          3.3323,   2.5380,   1.7875,   1.1819,   0.8382,   0.6607,   0.5358,
          3.1813,   2.0064,   1.5335,   1.1209,   0.8005,   0.6178,   0.5297,
          0.4813]
mean_cb = [-4.8381e+01, -1.3715e-01,  1.4812e-02, -1.6376e-01,  1.1849e-03,
        -2.6265e-01,  1.7011e-02, -7.7628e-01,  2.2393e-01,  1.2423e-04,
        -1.7474e-04,  8.4178e-05,  1.1935e-04,  4.9354e-04, -2.5457e-05,
         1.1802e-03,  7.7052e-04,  2.7825e-05,  3.7794e-04,  4.0023e-04,
        -2.6987e-04,  5.4858e-04,  7.0834e-06,  1.3247e-03,  2.1950e-02,
        -1.4731e-05,  3.0435e-04, -1.1074e-04, -1.7141e-05, -1.6566e-05,
         7.5050e-05, -1.5331e-04,  1.3207e-03,  1.5499e-02,  1.3839e-02,
         1.5198e-02,  2.2156e-05,  1.4296e-02,  1.3502e-02,  1.5981e-02,
         6.4509e-03,  3.4705e-05, -1.9602e-04,  7.6398e-05, -4.3134e-05,
        -5.7358e-06, -4.5550e-05, -4.0495e-05,  6.5013e-04,  8.0835e-05,
         8.8327e-05, -1.6223e-04,  4.5399e-05, -7.2421e-05,  3.1935e-05,
        -2.2899e-04,  2.2173e-03,  2.8346e-06,  2.3029e-05, -1.3699e-06,
         3.9005e-05, -3.1339e-05, -3.9647e-05, -1.2267e-04]
std_cb = [88.4226, 15.6951,  8.2239,  5.0829,  3.4554,  2.3829,  1.6339,  1.2125,
        17.4318,  8.0465,  5.2716,  3.5776,  2.5547,  1.8284,  1.2943,  0.9895,
         9.2611,  5.4921,  3.9841,  2.8853,  2.1281,  1.5622,  1.1267,  0.8810,
         5.7862,  3.8410,  2.9783,  2.2821,  1.7478,  1.3207,  0.9750,  0.7836,
         3.9774,  2.8075,  2.2558,  1.7940,  1.4183,  1.1050,  0.8380,  0.6930,
         2.7739,  2.0513,  1.6946,  1.3876,  1.1287,  0.9058,  0.7097,  0.6083,
         1.9254,  1.4786,  1.2490,  1.0511,  0.8769,  0.7294,  0.5955,  0.5333,
         1.3881,  1.1142,  0.9647,  0.8342,  0.7164,  0.6140,  0.5190,  0.4844]
mean_cr = [ 3.0407e+01, -1.3328e-01,  1.4621e-02, -1.5813e-01,  1.0025e-03,
        -2.5702e-01,  1.6557e-02, -7.5838e-01, -1.8698e-01,  4.1965e-04,
         5.1988e-04,  2.5895e-04,  6.0058e-05,  3.3469e-04,  5.1577e-05,
         1.1404e-03,  1.9104e-03,  2.9525e-04,  1.4719e-05, -2.5796e-04,
         1.5137e-04,  6.1068e-04, -5.6437e-05,  1.4223e-03, -1.8276e-02,
        -2.8924e-04, -1.9257e-04,  1.1391e-04,  3.2533e-05, -3.4621e-05,
        -4.8623e-05, -1.8559e-04,  7.5387e-04,  1.5562e-02,  1.3545e-02,
         1.5166e-02,  2.9442e-06,  1.4149e-02,  1.3272e-02,  1.6004e-02,
        -5.6235e-03, -7.6166e-05,  1.0053e-05, -4.1632e-05,  3.1171e-05,
         1.2703e-05,  1.0284e-05, -8.7822e-05,  6.0092e-04, -5.0615e-05,
        -3.0883e-05, -8.1671e-06, -8.9855e-06, -2.4408e-05, -3.4859e-05,
        -1.6949e-04, -1.5508e-03, -5.8095e-05,  1.6844e-06, -4.5707e-05,
        -2.0890e-05, -5.2494e-05, -4.3571e-07, -1.1439e-04]
std_cr = [82.6967, 15.2779,  7.8259,  4.7500,  3.1922,  2.1821,  1.4916,  1.1194,
        16.6970,  7.6159,  4.9118,  3.2868,  2.3257,  1.6540,  1.1690,  0.9048,
         8.6758,  5.0866,  3.6504,  2.6164,  1.9161,  1.4018,  1.0120,  0.8027,
         5.3331,  3.4990,  2.6908,  2.0480,  1.5612,  1.1793,  0.8739,  0.7137,
         3.6310,  2.5340,  2.0209,  1.5996,  1.2623,  0.9855,  0.7522,  0.6332,
         2.5150,  1.8410,  1.5121,  1.2355,  1.0054,  0.8109,  0.6409,  0.5597,
         1.7412,  1.3263,  1.1156,  0.9390,  0.7851,  0.6589,  0.5440,  0.4966,
         1.2614,  1.0075,  0.8704,  0.7535,  0.6498,  0.5618,  0.4804,  0.4565]

# train_upscaled_static_mean = [-1.0866e+02,  2.3046e-02,  1.4680e-02,  1.4080e-02, -2.0819e-03,
#          1.5819e-02,  1.4343e-02,  1.5672e-02,  3.7343e-01, -5.3420e-04,
#         -1.4078e-03,  3.2843e-04,  6.9276e-05, -1.6967e-05, -1.8612e-06,
#          3.0358e-05, -6.1869e-03, -2.7713e-04, -5.2338e-04,  5.6693e-05,
#          1.3367e-05,  4.3210e-05, -4.9171e-06,  9.8421e-05,  4.0171e-02,
#          1.5847e-04,  4.4632e-04,  7.2465e-05, -9.6937e-05, -6.7482e-05,
#          2.1983e-05, -1.7382e-05, -2.0175e-03,  1.6137e-02,  1.5075e-02,
#          1.5684e-02,  9.9698e-05,  1.5353e-02,  1.5159e-02,  1.5231e-02,
#          1.0774e-02,  1.1419e-04,  1.6619e-04, -1.0715e-04,  4.9149e-06,
#          1.3172e-05, -5.0811e-05, -3.1250e-06,  2.4494e-04,  2.2861e-05,
#          1.0099e-04, -4.5057e-05,  8.9027e-05, -4.5492e-05,  1.9252e-04,
#          1.2293e-05,  2.7781e-03,  5.1359e-05,  1.1342e-04, -6.0016e-05,
#          4.1043e-05,  1.1910e-05,  1.1545e-05,  1.9836e-05, -4.8395e+01,
#         -1.1003e-01,  1.3883e-02, -1.3024e-01,  3.5145e-04, -2.1216e-01,
#          1.4064e-02, -6.3016e-01,  1.1121e-01, -8.3208e-05,  4.4815e-05,
#          1.4106e-04,  2.7058e-05,  1.0798e-04, -4.1072e-06,  2.5867e-04,
#          1.0550e-03,  1.4029e-04,  9.4349e-05,  2.4481e-04, -2.3819e-05,
#          6.0787e-04,  1.1672e-05,  1.6321e-03,  1.1904e-02,  7.8761e-05,
#         -1.5893e-05, -5.7709e-05, -2.7570e-05, -1.0340e-05,  2.2554e-05,
#          3.2142e-05, -4.2463e-05,  1.4605e-02,  1.3182e-02,  1.3790e-02,
#          6.6515e-06,  1.2770e-02,  1.2058e-02,  1.2744e-02,  3.5201e-03,
#          3.3119e-05, -2.5234e-05, -5.5422e-05,  7.1711e-06, -4.0152e-05,
#          1.4196e-05, -1.1034e-04, -3.5825e-04,  7.2259e-05,  7.5414e-05,
#         -4.0107e-04,  1.3857e-05, -3.4258e-04,  3.6292e-06, -9.4295e-04,
#          9.7837e-04, -5.0909e-07,  1.4525e-05,  1.1198e-05,  5.7178e-06,
#          1.5825e-05, -2.0210e-06,  2.9887e-05,  3.0414e+01, -1.0193e-01,
#          1.3775e-02, -1.2147e-01,  4.0827e-04, -1.9857e-01,  1.4033e-02,
#         -5.9160e-01, -9.2634e-02,  1.3560e-04, -2.3060e-05,  1.6187e-05,
#          1.2966e-06,  7.7594e-05,  2.7060e-05,  2.4098e-04,  7.5648e-04,
#          1.1859e-04,  9.9062e-05,  2.1202e-04,  8.1550e-06,  6.9055e-04,
#         -3.6092e-05,  1.8438e-03, -9.9120e-03, -4.2750e-05,  2.6484e-05,
#          2.8290e-05,  2.1713e-05,  1.1726e-06, -1.1134e-05,  4.6000e-06,
#          1.0770e-04,  1.4487e-02,  1.3003e-02,  1.3633e-02, -8.0870e-06,
#          1.2503e-02,  1.1741e-02,  1.2501e-02, -2.9860e-03, -1.9668e-05,
#          4.7742e-05, -1.4096e-05,  2.1654e-05, -2.5894e-05, -1.8509e-06,
#         -1.1927e-04,  7.0520e-05,  7.0989e-05,  9.1226e-05, -4.3075e-04,
#         -1.4809e-05, -3.6837e-04,  1.9510e-05, -1.0615e-03, -8.6458e-04,
#         -1.6882e-05, -8.4462e-06,  1.8765e-05,  4.8344e-06,  8.6240e-06,
#         -7.5360e-06,  4.0473e-05]
#
# train_upscaled_static_std = [1.7163e+02, 7.1572e-01, 4.4136e-01, 2.2993e-01, 1.1144e-01, 8.2530e-02,
#         5.6728e-02, 3.5412e-02, 1.2145e+00, 9.6854e-02, 1.1040e-01, 6.2034e-02,
#         3.7184e-02, 2.6282e-02, 1.7431e-02, 1.0665e-02, 5.2435e-01, 1.0992e-01,
#         1.2411e-01, 7.0269e-02, 4.2072e-02, 2.9650e-02, 1.9654e-02, 1.2088e-02,
#         2.8307e-01, 6.2723e-02, 7.1063e-02, 4.0494e-02, 2.5073e-02, 1.7583e-02,
#         1.1911e-02, 7.5918e-03, 1.3127e-01, 3.8987e-02, 4.4472e-02, 2.6109e-02,
#         1.7646e-02, 1.2411e-02, 8.6602e-03, 5.9693e-03, 1.0073e-01, 2.7310e-02,
#         3.0899e-02, 1.8124e-02, 1.2076e-02, 8.7920e-03, 6.3318e-03, 4.5369e-03,
#         6.7137e-02, 1.8127e-02, 2.0378e-02, 1.2149e-02, 8.4344e-03, 6.3299e-03,
#         5.0033e-03, 3.7798e-03, 4.1554e-02, 1.1049e-02, 1.2359e-02, 7.7220e-03,
#         5.7760e-03, 4.5389e-03, 3.7340e-03, 3.3678e-03, 5.6944e+01, 1.2821e-01,
#         6.8224e-02, 5.5028e-02, 1.2867e-02, 6.1763e-02, 6.9500e-03, 1.7371e-01,
#         2.5199e-01, 1.6730e-02, 1.9149e-02, 1.0296e-02, 5.5458e-03, 4.5486e-03,
#         3.1940e-03, 3.2780e-03, 8.2651e-02, 1.9062e-02, 2.1732e-02, 1.1772e-02,
#         6.0965e-03, 4.9435e-03, 3.3166e-03, 3.3848e-03, 5.0201e-02, 1.0457e-02,
#         1.1859e-02, 6.6979e-03, 4.0702e-03, 3.4656e-03, 2.7416e-03, 2.8162e-03,
#         1.6035e-02, 6.4799e-03, 7.1604e-03, 5.0240e-03, 3.2133e-03, 3.8436e-03,
#         3.5550e-03, 3.6031e-03, 1.5739e-02, 4.6775e-03, 5.0504e-03, 3.5596e-03,
#         2.8508e-03, 2.6601e-03, 2.4266e-03, 2.6100e-03, 7.5071e-03, 3.3098e-03,
#         3.4401e-03, 2.9343e-03, 2.5323e-03, 2.5898e-03, 2.3819e-03, 3.1340e-03,
#         6.0362e-03, 2.8845e-03, 2.9113e-03, 2.6218e-03, 2.4659e-03, 2.4437e-03,
#         2.3496e-03, 2.5640e-03, 4.9966e+01, 1.1717e-01, 6.3115e-02, 5.2756e-02,
#         1.1616e-02, 6.0903e-02, 6.4618e-03, 1.7173e-01, 2.0592e-01, 1.4842e-02,
#         1.6726e-02, 9.1840e-03, 5.0199e-03, 4.2007e-03, 3.0261e-03, 3.1746e-03,
#         7.4778e-02, 1.6790e-02, 1.8978e-02, 1.0303e-02, 5.4917e-03, 4.5066e-03,
#         3.1259e-03, 3.2954e-03, 4.3824e-02, 9.2922e-03, 1.0484e-02, 6.0594e-03,
#         3.7926e-03, 3.2821e-03, 2.6373e-03, 2.7320e-03, 1.4403e-02, 6.0116e-03,
#         6.4989e-03, 4.7073e-03, 3.0565e-03, 3.7436e-03, 3.5359e-03, 3.5569e-03,
#         1.3939e-02, 4.2954e-03, 4.5924e-03, 3.3189e-03, 2.7258e-03, 2.5818e-03,
#         2.3742e-03, 2.5744e-03, 6.7160e-03, 3.1808e-03, 3.2178e-03, 2.8507e-03,
#         2.4804e-03, 2.5535e-03, 2.3338e-03, 3.1570e-03, 5.5245e-03, 2.7762e-03,
#         2.7796e-03, 2.5589e-03, 2.4412e-03, 2.4090e-03, 2.3092e-03, 2.5268e-03]

train_upscaled_static_mean = [-1.2344e+02,  6.6795e-01, -1.5617e-01,  1.3302e-01, -1.8175e-04,
        -8.1271e-04,  2.8878e-02,  1.5535e-02,  4.5940e-01,  2.8180e-04,
        -5.4985e-05,  2.7157e-06, -2.7040e-05, -2.6466e-05, -1.3113e-05,
        -1.9929e-05, -6.0406e-02,  1.4817e-05,  3.0948e-05, -2.6347e-05,
         1.1745e-04,  9.8279e-07, -7.7476e-07,  3.8261e-06,  5.3709e-02,
        -2.3799e-05,  1.2860e-05,  2.4583e-05, -1.0892e-05,  5.8033e-06,
         8.1168e-06,  9.8960e-06,  1.2676e-04,  1.4257e-02,  1.2782e-02,
         1.3357e-02,  1.0311e-04,  1.2338e-02,  1.2047e-02,  1.1732e-02,
         5.9062e-03, -3.2125e-06, -1.4534e-05,  7.0124e-06,  4.3780e-05,
        -9.4416e-06, -2.0693e-06, -7.2819e-07,  4.2808e-03,  1.5518e-06,
         1.0003e-04,  5.9223e-06,  1.9159e-04,  5.2075e-06,  1.8350e-04,
        -5.9709e-06,  2.6587e-03, -5.7934e-06,  9.6079e-06, -3.7334e-06,
        -7.0453e-06, -3.9687e-06, -3.2162e-06, -9.9746e-06, -4.7657e+01,
        -1.2021e-01,  2.5829e-02, -1.1518e-01, -2.1354e-04, -1.7600e-01,
         1.2029e-02, -5.3264e-01,  3.7022e-02,  4.2072e-05,  1.0666e-05,
         3.1255e-05, -4.6105e-06,  3.4689e-05,  6.2169e-06,  8.2905e-05,
         4.2277e-03,  3.8338e-04,  4.5107e-05,  1.5625e-04,  1.6554e-05,
         4.4320e-04,  1.2814e-05,  1.9345e-03,  3.3838e-03, -5.5771e-06,
        -9.2481e-06, -2.9896e-05,  1.9152e-06, -2.3759e-05,  4.7840e-06,
        -1.1839e-04,  2.3383e-06,  1.1393e-02,  9.9405e-03,  1.0917e-02,
         1.3388e-05,  1.0427e-02,  9.8973e-03,  1.1890e-02,  1.6947e-03,
         6.7901e-07, -1.4508e-06, -1.1576e-05, -9.8006e-07, -1.7352e-05,
         5.6477e-06, -9.1482e-05, -1.9150e-04,  3.9964e-05,  2.1698e-05,
         9.9222e-05,  1.1218e-05,  1.4527e-04,  3.6537e-05,  5.1965e-04,
        -2.1237e-04,  3.7658e-07, -9.3425e-07, -1.3776e-06,  1.6840e-06,
         3.7272e-06,  2.8792e-06, -1.0437e-05,  2.9966e+01, -7.0467e-02,
         1.2499e-02, -9.8998e-02, -1.9671e-04, -1.6343e-01,  1.2684e-02,
        -4.9516e-01, -3.4481e-02, -1.8046e-05,  2.3442e-05,  1.7878e-05,
         1.0996e-05,  3.5863e-05, -8.6001e-06,  9.4332e-05, -2.8482e-03,
         3.9932e-04,  2.9520e-05,  1.4785e-04,  3.7277e-06,  4.7160e-04,
         3.7741e-06,  2.0829e-03, -3.3187e-03, -2.3158e-05,  3.9162e-06,
        -2.0131e-05,  1.9938e-06, -3.4725e-05,  1.8472e-05, -1.2553e-04,
         1.7715e-05,  1.1042e-02,  9.5385e-03,  1.0617e-02,  1.7211e-05,
         1.0083e-02,  9.5156e-03,  1.1564e-02, -1.5289e-03, -2.7820e-06,
        -1.3685e-06, -1.0823e-05, -3.0516e-06, -3.1294e-05,  5.5756e-06,
        -9.4773e-05,  2.8764e-04,  4.8467e-05,  2.0954e-05,  9.4582e-05,
         1.3973e-05,  1.4714e-04,  3.5415e-05,  5.2803e-04, -1.0570e-04,
        -6.4609e-06, -1.7677e-07, -2.1173e-06,  1.5411e-06, -1.0696e-06,
        -8.6279e-06, -2.1415e-05]
train_upscaled_static_std = [1.6899e+02, 4.8624e-01, 3.4341e-01, 1.4883e-01, 2.1743e-03, 5.7972e-02,
        2.4756e-02, 1.3448e-02, 6.6954e-01, 8.8831e-03, 9.7323e-03, 4.9632e-03,
        1.4107e-03, 1.7089e-03, 1.5967e-03, 1.5329e-03, 2.1662e-01, 9.7994e-03,
        1.0842e-02, 5.4919e-03, 1.4641e-03, 1.7304e-03, 1.6022e-03, 1.4904e-03,
        1.3573e-01, 4.9854e-03, 5.4575e-03, 3.0883e-03, 1.3170e-03, 1.4877e-03,
        1.3628e-03, 1.3615e-03, 1.8646e-03, 2.1891e-03, 2.4301e-03, 2.3414e-03,
        1.3739e-03, 2.2522e-03, 2.1198e-03, 2.1918e-03, 4.4740e-02, 1.7117e-03,
        1.7127e-03, 1.4691e-03, 1.1706e-03, 1.2974e-03, 1.2262e-03, 1.3162e-03,
        1.5844e-02, 1.6157e-03, 1.5990e-03, 1.3493e-03, 1.1267e-03, 1.2327e-03,
        1.2256e-03, 1.2552e-03, 1.6841e-02, 1.4959e-03, 1.4262e-03, 1.2682e-03,
        1.0800e-03, 1.2542e-03, 1.1639e-03, 1.6809e-03, 5.6080e+01, 8.1963e-02,
        3.6269e-02, 4.2302e-02, 1.4725e-03, 5.6881e-02, 3.7757e-03, 1.5902e-01,
        1.2073e-01, 2.2347e-03, 2.3723e-03, 1.7548e-03, 1.1988e-03, 1.2995e-03,
        1.1597e-03, 1.4518e-03, 2.7071e-02, 2.3929e-03, 2.5368e-03, 1.8155e-03,
        1.1542e-03, 1.2989e-03, 1.1407e-03, 1.7443e-03, 1.9842e-02, 1.7284e-03,
        1.7418e-03, 1.4496e-03, 1.1089e-03, 1.1822e-03, 1.0783e-03, 1.3015e-03,
        1.4315e-03, 2.8183e-03, 2.6945e-03, 2.6103e-03, 1.0842e-03, 2.6881e-03,
        2.5920e-03, 2.8344e-03, 6.4891e-03, 1.2477e-03, 1.1866e-03, 1.1612e-03,
        1.0434e-03, 1.0934e-03, 1.0315e-03, 1.2098e-03, 2.5740e-03, 1.1576e-03,
        1.0989e-03, 1.0991e-03, 1.0205e-03, 1.0720e-03, 1.0194e-03, 1.2174e-03,
        3.0992e-03, 1.0921e-03, 1.0373e-03, 1.0580e-03, 1.0127e-03, 1.0405e-03,
        9.8621e-04, 1.1672e-03, 4.9220e+01, 6.4895e-02, 3.0378e-02, 3.6032e-02,
        1.4164e-03, 5.4267e-02, 3.9301e-03, 1.5083e-01, 9.6570e-02, 2.0885e-03,
        2.2316e-03, 1.6968e-03, 1.1786e-03, 1.2798e-03, 1.1301e-03, 1.4057e-03,
        2.2993e-02, 2.2671e-03, 2.3621e-03, 1.7493e-03, 1.1441e-03, 1.2815e-03,
        1.1073e-03, 1.7426e-03, 1.6376e-02, 1.6755e-03, 1.6852e-03, 1.4282e-03,
        1.0817e-03, 1.1659e-03, 1.0505e-03, 1.2753e-03, 1.3905e-03, 2.8286e-03,
        2.6775e-03, 2.6072e-03, 1.0532e-03, 2.6859e-03, 2.5685e-03, 2.8589e-03,
        5.4017e-03, 1.2300e-03, 1.1643e-03, 1.1496e-03, 1.0259e-03, 1.0692e-03,
        1.0068e-03, 1.1798e-03, 2.3144e-03, 1.1304e-03, 1.0776e-03, 1.0782e-03,
        9.8469e-04, 1.0456e-03, 9.9434e-04, 1.1759e-03, 2.6221e-03, 1.0593e-03,
        1.0097e-03, 1.0267e-03, 9.8651e-04, 1.0126e-03, 9.6120e-04, 1.1314e-03]
